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Network Intrusion Detection

Network intrusion detection is the task of monitoring network traffic to and from all devices on a network in order to detect computer attacks.

Papers

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Showing 171–180 of 261 papers

TitleStatusHype
Decision-forest voting scheme for classification of rare classes in network intrusion detection—0
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks—0
Segmented Federated Learning for Adaptive Intrusion Detection System—0
On the Evaluation of Sequential Machine Learning for Network Intrusion Detection—0
Towards a Privacy-preserving Deep Learning-based Network Intrusion Detection in Data Distribution Services—0
Cybersecurity Anomaly Detection in Adversarial Environments—0
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT—0
Benchmarking the Benchmark -- Analysis of Synthetic NIDS Datasets—0
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection—0
Supervised Feature Selection Techniques in Network Intrusion Detection: a Critical Review—0
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